FNMADDS	F1, F2, F3, F4				// 4f822018

	// 20.8: Single-Precision Floating-Point Compare Instructions
	FEQS	F0, F1, X7				// d3a300a0
	FLTS	F0, F1, X7				// d39300a0
	FLES	F0, F1, X7				// d38300a0

	// 20.9: Single-Precision Floating-Point Classify Instruction
	FCLASSS	F0, X5					// d31200e0

	// 21.3: Double-Precision Load and Store Instructions
	FLD	(X5), F0				// 07b00200
	FLD	4(X5), F0				// 07b04200

     * will not be used and a network request will be made.
     *
     * @param maxAge a non-negative duration. This is stored and transmitted with [TimeUnit.SECONDS]
     *     precision; finer precision will be lost.
     */
    fun maxAge(maxAge: Duration) =
      apply {
        val maxAgeSeconds = maxAge.inWholeSeconds
        require(maxAgeSeconds >= 0) { "maxAge < 0: $maxAgeSeconds" }

                f.setLastModified(time);

                if ( ( getContext().getConfig().getCapabilities() & SmbConstants.CAP_NT_SMBS ) == 0 ) {
                    // only have second precision
                    // there seems to be some random factor (adding one second)
                    int diff = Math.abs((int) ( ( time / 1000 ) - ( f.lastModified() / 1000 ) ));

  }

  /**
   * Returns statistics over a dataset containing the given values.
   *
   * @param values a series of values, which will be converted to {@code double} values (this may
   *     cause loss of precision)
   */
  public static Stats of(Iterable<? extends Number> values) {
    StatsAccumulator accumulator = new StatsAccumulator();
    accumulator.addAll(values);
    return accumulator.snapshot();
  }

	}

	if num, ok := field.TagSettings["SIZE"]; ok {
		if field.Size, err = strconv.Atoi(num); err != nil {
			field.Size = -1
		}
	}

	if p, ok := field.TagSettings["PRECISION"]; ok {
		field.Precision, _ = strconv.Atoi(p)
	}

	if s, ok := field.TagSettings["SCALE"]; ok {
		field.Scale, _ = strconv.Atoi(s)
	}

	// default value is function or null or blank (primary keys)

   *     cause loss of precision)
   */
  public void addAll(Iterable<? extends Number> values) {
    for (Number value : values) {
      add(value.doubleValue());
    }
  }

  /**
   * Adds the given values to the dataset.
   *
   * @param values a series of values, which will be converted to {@code double} values (this may
   *     cause loss of precision)
   */

     * Computes the quantile value of the given dataset.
     *
     * @param dataset the dataset to do the calculation on, which must be non-empty, which will be
     *     cast to doubles (with any associated lost of precision), and which will not be mutated by
     *     this call (it is copied instead)
     * @return the quantile value
     */
    public double compute(Collection<? extends Number> dataset) {

					(len(matches2) == 1 && matches2[0][1] != fmt.Sprint(length) && ok) {
					alterColumn = true
				}
			}
		}

		// check precision
		if precision, _, ok := columnType.DecimalSize(); ok && int64(field.Precision) != precision {
			if regexp.MustCompile(fmt.Sprintf("[^0-9]%d[^0-9]", field.Precision)).MatchString(m.DataTypeOf(field)) {
				alterColumn = true
			}
		}
	}

	// check nullable

      this.notBefore = notBefore
      this.notAfter = notAfter
    }

    /**
     * Sets the certificate to be valid immediately and until the specified duration has elapsed.
     * The precision of this field is seconds; further precision will be truncated.
     */
    fun duration(
      duration: Long,
      unit: TimeUnit,
    ) = apply {
      val now = System.currentTimeMillis()

 * thus paying for the cost of the expensive task.
 *
 * @author Dimitris Andreou
 * @since 13.0
 */
// TODO(user): switch to nano precision. A natural unit of cost is "bytes", and a micro precision
// would mean a maximum rate of "1MB/s", which might be small in some cases.
@Beta
@J2ktIncompatible
@GwtIncompatible
@ElementTypesAreNonnullByDefault
public abstract class RateLimiter {